Thurs. October 1, 2009 - Sat. October 3, 2009 

Baltimore, MD 21202


NGDM '09

Next Generation Data Mining Summit: Dealing with the
Energy Crisis, Greenhouse Emissions, and Transportation
Challenges


 SCHEDULE


  NGDM'09 will start on Oct 1, 2009 at 8am EST. It will end on Oct 3, 2009 at 12:00pm EST.
  NGDM’09 Preliminary Schedule

Thursday, Oct 1, 2009

7:00—8:00am

Breakfast (Served), Registration

8:00—8:10am

Welcome remarks

8:10—10:40am

Session Title: Climate Change, Environmental Issues
and Data Mining

Session Chair: Hillol Kargupta

Vipin Kumar, Professor, University of Minnesota, Assessing Change in Global Forest Cover using Data Mining [abstract] [slides]

David J. Erickson III, Senior Scientist, Oak Ridge Nat. Lab, The next generation of challenges in data mining: Extracting geophysical content from satellites and global climate models that yield Petabytes of data per day [abstract][slides]

Nitesh Chawla, Professor, University of Norte Dame, A Complex Networks Perspective on Global Climate, Commerce and Environment [abstract] [slides]

Robert Neff, Professor, Univ. of Maryland Baltimore County, Urban Fragmentation and Energy Consumption

Patterns from Commuting in the Baltimore Metropolitan Area, 1990-2000 [abstract] [slides]

 

Auroop Ganguly, Research Scientist, Oak Ridge Nat. Lab., Climate Extremes: The Science, Impacts and Policy Relevance [abstract][slides]

10:40—11:00am

Coffee Break (Served)

11:00—12:00am

Discussion Session:  

Panelists: Auroop Ganguly and Vipin Kumar

12:00—1:30pm

Lunch (Served)

1:30—3:30pm

Session Title: Sustainable Computing, Energy Crisis, and Data Mining

Session Chair: Hillol Kargupta

Rich Lechner, Vice President, IBM, Lets Build a Smarter Planet: Leveraging Technology for Green Beyond [abstract][slides]

Krishna Rajan, Professor, Iowa State University, Data mining for new materials chemistries for immobilizing environmentally toxic elements: a systems engineering approach [abstract][slides]

Mark McGranaghan, Director, Electric Power Res. Inst., How Standards for Interoperability can Enable Smart Grid Information Integration [abstract][slides]

Douglas Fisher, Program Director, National Science Found. Computing, Environment, Energy, Sustainability [slides]

3:30—3:50pm

Coffee Break (Served)

3:50—5:20pm

Session Title: Transportation and Data Mining

Session Chair: Aryya Gangopadhyay

Ashok Srivastava, Principal Investigator, NASA Ames, Data Mining and Sustainable Systems [abstract][slides]

Umesh Dayal, HP Fellow, HP Labs, Real Time Operations Management with a Stream Processing Engine [abstract][slides]

Phil Gross, Senior Staff, Columbia University, Estimating the Time Between Failures of Electrical Feeders in the New York Power Grid [abstract][slides]

5:20—6:20pm

Discussion Session:

Panelists: Mark McGranghan, Douglas Fisher

6:30—8:30pm

Poster Sessions, Demos & Welcome Reception

Welcome Note: Dean Warren DeVries
College of Engineering and Information Technology, UMBC

                                                                               

Friday, Oct 2, 2009

 

7:00—8:00am

Breakfast (Served), Registration

8:00—8:10am

Remarks/Announcements

8:10—10:40am

Session Title: Transportation and Data Mining

Session Chair: Chris Giannella

Brian Worley, Division Director, Oak Ridge Nat. Lab., A Knowledge Discovery Perspective in Data Mining  [abstract][slides]

Shashi Shekhar, Professor, University of Minnesota, Data Mining and Environmental Sciences [abstract][slides]

Chandra Bhat, Professor, UT Austin, On The Transportation-Energy and The Transportation-GHG Emissions Connection [abstract][slides]

Hillol Kargupta, Professor, UMBC and Agnik [abstract][slides]

Eugene Tierney, Scientist, Env. Protection Agency (EPA), Data Mining to Support MOVES [abstract][slides]

10:40—11:00am

Coffee Break (Served)

11:00—12:00am

Discussion Session:

Panelists: Chadra Bhat, Johannes Gehrke

12:00—1:00pm

Lunch (Served)

1:00—3:30pm

Session Title: Transportation and Data Mining

Session Chair: Vipin Kumar

Johannes Gehrke, Professor, Cornell University, Scaling Transportation Simulations Through Declarative Processing [abstract][slides]

Alok Choudhary, Professor, North Western University,
Data-Aware Control Efficient Traffic Management [abstract][slides]

Paul Melby, Senior Scientist, MITRE, Data Mining for Aviation Safety [abstract] [slides]

Mario Cools, Hasselt University, The presentation of an integrated microsimulation modeling framework to measure and predict emissions and dynamic exposure [abstract] [slides]

Wei Fan, IBM T. J. Watson Research Center, Discriminative Signature Mining and its Application to Intelligent Transportation System, Fuel Efficiency and Beyond [abstract][slides]

3:30—3:50pm

Coffee Break (Served)

3:50—4:50pm

Session Title: Climate Change Communications, Computational Sustainability, and Data Mining

Session Chair: Dino Pedreschi

Edward Maibach, Professor, George Mason University, Climate Change and Energy Use: Examining the American People and the Drivers of Population Behavior [abstract] [slides]

Carla Gomes, Professor, Cornell University, Challenges in Computational Sustainability [abstract][slides]

4:50—5:40pm

Discussion Session:

Panelist: Paul Melby

5:50pm

Bus Leaves for Inner Harbor

6:15—9:15pm

Banquet Dinner Cruise

 

Saturday, Oct 3, 2009

 

7:00—8:00am

Breakfast, Registration (Served)      

8:00—8:10am

Remarks/Announcements

8:10—10:40am

Session Title: Transportation, Emissions, Carbon Trading and Data Mining

 

Session Chair: Wei Fan

 

Dino Pedreschi, Prof, Univ. of Pisa and Northeastern Univ., Mining Mobility Behavior from Trajectory Data [abstract][slides]

 

Vince Mow, Senior Technical Staff, Mactec Federal Programs, Wireless Vehicle Inspection for Mobile Source Emissions Programs [abstract][slides]

 

Ramasamy Uthurusamy, General Director of Emerging Technologies, GM (Ret.), Strategic Role of Data Mining in Transportation and Emissions Reduction Challenges [abstract][slides]

 

Philip Yu, Professor, University of Illinois at Chicago, Mining Evolving Data Streams for Real-time Monitoring Applications [abstract][slides]

 

Kirk Borne, Professor, George Mason University, Advancing Science through User-Guided Learning in Massive Data Streams [abstract][slides]

10:40—11:00am

Coffee Break (Served)

11:00—12:00 noon

Discussion Session:

 

Panelists: Phillip Yu, Ramasamy Uthurusamy

12:00 noon

NGDM’09 Concludes